2018 IEEE 22nd International Conference on Intelligent Engineering Systems (INES) 2018
DOI: 10.1109/ines.2018.8523943
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Survey of Drones for Agriculture Automation from Planting to Harvest

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Cited by 87 publications
(27 citation statements)
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“…Thus, several reviews exist for their application in Precision Agriculture and Smart Farming. Most of the reviews focus mainly on the different types of applications that UAVs can have in agricultural crops [7][8][9][10][11][12] or environmental monitoring in general [13]. In [14], the authors reviewed the hyperspectral imagery and the techniques used in these cases.…”
Section: Introductionmentioning
confidence: 99%
“…Thus, several reviews exist for their application in Precision Agriculture and Smart Farming. Most of the reviews focus mainly on the different types of applications that UAVs can have in agricultural crops [7][8][9][10][11][12] or environmental monitoring in general [13]. In [14], the authors reviewed the hyperspectral imagery and the techniques used in these cases.…”
Section: Introductionmentioning
confidence: 99%
“…x Tzounis et al [18] x x x x x x Vuran et al [19] x x x x x x x Boursianis et al [20] x x x x x x x Jha et al [21] x x x x x x x x Elijah et al [22] x x x x x x x Mohammadi et al [23] x x x x x x x Kulbacki et al [24] x x x x x x x x x Ali et al [25] x…”
Section: Related Survey Papersmentioning
confidence: 99%
“…Software programs intended for data processing and image analysis are not usually considered as a physical component of a drone but they play a crucial role in management, decision making and planning [32]. Various software, open-source solutions as well as marketable, are commercially available developed on the vendors' policies.…”
Section: Basic Architecture Of An Agricultural Rpamentioning
confidence: 99%
“…Some key features that such software programs should have include: data collection (imageries and videos assembly from drone and their storage in database), analysis and reports (production of valuable information after analysing the data like yield prediction etc. ), map generation (creating 3D field models and high resolution maps), and flight planning and automation (real-time flight planning, scheduling and route optimization within the program) [32].…”
Section: Basic Architecture Of An Agricultural Rpamentioning
confidence: 99%